Cloud Computing and Internet of Things Integration for Smart Homes
Article Sidebar
Main Article Content
Abstract
The integration of cloud computing with the Internet of Things (IoT) has enabled the development of intelligent smart home systems. This paper presents a cloud-based smart home architecture that supports automation, remote monitoring, and energy management. IoT devices collect data from home appliances and sensors, while cloud platforms process and analyze the information for decision-making. Performance evaluation demonstrates improved convenience, energy efficiency, and remote accessibility. The paper also discusses challenges related to network security, privacy, and interoperability in smart home environments.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
References
Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., & Zaharia, M. (2010). Above the clouds: A Berkeley view of cloud computing. Communications of the ACM, 53(4), 50–58.
Buyya, R., Broberg, J., & Goscinski, A. (2011). Cloud computing: Principles and paradigms. Wiley.
Hwang, K., Fox, G., & Dongarra, J. (2012). Distributed and cloud computing: From parallel processing to the internet of things. Morgan Kaufmann.
Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. National Institute of Standards and Technology Special Publication 800-145.
Zhang, Q., Cheng, L., & Boutaba, R. (2010). Cloud computing: State-of-the-art and research challenges. Journal of Internet Services and Applications, 1(1), 7–18.
Dean, J., & Ghemawat, S. (2008). MapReduce: Simplified data processing on large clusters. Communications of the ACM, 51(1), 107–113.
Marston, S., Li, Z., Bandyopadhyay, S., Zhang, J., & Ghalsasi, A. (2011). Cloud computing — The business perspective. Decision Support Systems, 51(1), 176–189.
Vaquero, L. M., Rodero-Merino, L., Caceres, J., & Lindner, M. (2009). A break in the clouds: Towards a cloud definition. ACM SIGCOMM Computer Communication Review, 39(1), 50–55.
Sultan, N. (2010). Cloud computing for education: A new dawn? International Journal of Information Management, 30(2), 109–116.
Foster, I., Zhao, Y., Raicu, I., & Lu, S. (2008). Cloud computing and grid computing 360-degree compared. Grid Computing Environments Workshop, 1–10.
Rao, R. V., Selvamani, K., & Kumar, S. (2011). Security challenges and threats in cloud computing. International Journal of Computer Science and Information Technologies, 2(4), 1706–1711.
Hashem, I. A. T., Yaqoob, I., Anuar, N. B., Mokhtar, S., Gani, A., & Khan, S. U. (2015). The rise of “big data” on cloud computing: Review and open research issues. Information Systems, 47, 98–115.
Amazon Web Services. (2024). Overview of cloud computing. Retrieved from AWS Official Website
Microsoft Azure. (2024). Cloud computing services. Retrieved from Microsoft Azure
Google Cloud. (2024). Google cloud architecture framework. Retrieved from Google Cloud
IBM Cloud. (2024). Hybrid cloud solutions and services. Retrieved from IBM Cloud
Oracle Corporation. (2024). Oracle cloud infrastructure documentation. Retrieved from Oracle Cloud
Bernstein, D. (2014). Containers and cloud: From LXC to Docker to Kubernetes. IEEE Cloud Computing, 1(3), 81–84.
Pahl, C. (2015). Containerization and the PaaS cloud. IEEE Cloud Computing, 2(3), 24–31.
Botta, A., De Donato, W., Persico, V., & Pescapé, A. (2016). Integration of cloud computing and internet of things: A survey. Future Generation Computer Systems, 56, 684–700.
Bellundagi, M. (2025). Cloud-based smart retail system using AI-driven recommendations. International Journal of Science, Research and Technology, 8(4), 14601-14609.
Bellundagi, M. (2024). A Multi-Layer AI-Driven Decision Intelligence Framework for Enterprise and Healthcare System. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 7(6), 11679-11687.
Bellundagi, M. (2024). A Scalable Microservices Architecture for Enterprise Payment Systems Using Java and Cloud Platforms. International Journal of Computer Technology and Electronics Communication, 7(2), 8543-8553.
Bellundagi, M. (2024). An Intelligent Digital Transformation Framework for Smart Enterprises Using AI and Cloud Computing. International Journal of Science, Research and Technology, 7(4), 12433-12446.
Sharma, M., Vangara, Y., Sharma, P., & Konda, P. R. (2025, June). NeuroNav: A Hybrid Deep Learning Framework for Sustainable Autonomous Indoor Robot Localization and Navigation. In International Conference on Sustainable Development through Machine Learning, AI and IoT (pp. 330-349). Cham: Springer Nature Switzerland.
Konda, P. R. (2025). ADVANCED ENTERPRISE DATA ENGINEERING USING MACHINE LEARNING AND SCALABLE CLOUD ARCHITECTURES. Indonasian Journal of Advanced Research & Technology , 7(7). Retrieved from https://scholarlyarticle.vncinstitute.com/index.php/IJART/article/view/71
Konda, P. R. (2024). AI-DRIVEN CLOUD DATA ANALYTICS FRAMEWORK FOR INTELLIGENT ENTERPRISE DECISION SYSTEMS. Indonasian Journal of Advanced Research & Technology , 6(6). Retrieved from https://scholarlyarticle.vncinstitute.com/index.php/IJART/article/view/70
Konda, P. R. (2025). NEXT-GENERATION ENTERPRISE DATA ANALYTICS USING DEEP LEARNING AND AUTOMATED CLOUD WORKFLOWS. Indonasian Journal of Multidisciplinary Innovations , 7(7). Retrieved from https://scholarlyarticle.vncinstitute.com/index.php/IJMI/article/view/73
Konda, P. R. (2024). Intelligent Automation in Enterprise Analytics Through AI and ML-Based Predictive Models. Indonasian Journal of Multidisciplinary Innovations , 6(6). Retrieved from https://scholarlyarticle.vncinstitute.com/index.php/IJMI/article/view/74
Konda, P. (2025). Using Generative AI to Build Dynamic Financial Forecasting Dashboards. International Journal of Machine Learning for Sustainable Development, 7(1). Retrieved from https://ijsdcs.com/index.php/IJMLSD/article/view/701